{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "2e474474-123d-49c3-a6c4-6fdc5a026dbd",
   "metadata": {},
   "source": [
    "# 2024年某电商平台销售数据深度分析报告\n",
    "> **考核要求：**\n",
    "> 1.  **数据获取与清洗**：使用 `NumPy` 进行数据清洗。\n",
    "> 2.  **统计分析与建模**：研究销售额分布、商品类别表现、价格与销量关系。\n",
    "> 3.  **可视化设计与实现**：使用 `Matplotlib` 绘制统计图表。"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c3dec7e-a164-4afa-b2cf-0d2fb9a4f088",
   "metadata": {},
   "source": [
    "## 一、导入库并进行基本设置"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "920184ce-9977-43bd-95ee-d5ee23cfc227",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "库导入成功，设置完成！\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "# 设置正常显示负号\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "print(\"库导入成功，设置完成！\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a74661ad-5b0e-4c87-959d-93cafcaf8947",
   "metadata": {},
   "source": [
    "## 二、数据获取与清洗\n",
    "### 2.1 从CSV文件加载原始数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5e1f1cb4-4f1b-4375-8a62-8ae1571a3625",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "原始数据（前5行）:\n",
      "[['2024-01-05' '电子产品' '101' '1200' '50']\n",
      " ['2024-01-08' '服装' '201' '350' '150']\n",
      " ['2024-01-12' '家居用品' '301' '80' '300']\n",
      " ['2024-01-15' '食品' '401' '25' '800']\n",
      " ['2024-01-20' '电子产品' '102' '8999' '15']]\n"
     ]
    }
   ],
   "source": [
    "file_path = 'sales_data_2024.csv'\n",
    "# dtype=str 让所有列都以字符串形式读入，方便后续处理\n",
    "# skip_header=1 跳过第一行标题行\n",
    "raw_data = np.genfromtxt(file_path, delimiter=',', dtype=str, skip_header=1)\n",
    "\n",
    "print(\"原始数据（前5行）:\")\n",
    "print(raw_data[:5])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "547b3c7b",
   "metadata": {},
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "8cf0843d-d415-42c1-847e-25b1799c119d",
   "metadata": {},
   "source": [
    "### 2.2 数据清洗\n",
    "> 从原始数据中存在一些问题：\n",
    "> 1.  **数据类型问题**：价格和销量本应是数字，但现在是字符串。\n",
    "> 2.  **缺失值问题**：某些行的销量数据是空的 (如第7行)。\n",
    "> 3.  **异常值问题**：存在负数的销量 (如第9行)。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f7b70649-b235-40d9-9d40-1875955a462b",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 分离出不同的列\n",
    "dates = raw_data[:, 0]\n",
    "categories = raw_data[:, 1]\n",
    "prices_str = raw_data[:, 3]\n",
    "quantities_str = raw_data[:, 4]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "85cae0c2-bb48-4063-a515-07ae84179cae",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 1. 处理价格和销量的缺失值和字符串到数字的转换\n",
    "# 将空字符串替换为 '0'，后续再进行更合理的处理\n",
    "prices_str[prices_str == ''] = '0'\n",
    "quantities_str[quantities_str == ''] = '0'\n",
    "\n",
    "# 类型转换\n",
    "prices = prices_str.astype(float)\n",
    "quantities = quantities_str.astype(int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d58045e3-3d4e-437f-be02-941a5f5e510c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2. 处理异常值（如负数销量）\n",
    "# 我们将销量小于0的数据行过滤掉\n",
    "valid_indices = quantities >= 0\n",
    "\n",
    "dates = dates[valid_indices]\n",
    "categories = categories[valid_indices]\n",
    "prices = prices[valid_indices]\n",
    "quantities = quantities[valid_indices]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2066f38a-f22f-4dd4-9313-f907877181a3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "缺失值处理完成，填充的平均值为: 308\n"
     ]
    }
   ],
   "source": [
    "# 3. 处理缺失值（之前替换为0的销量）\n",
    "# 用该列的平均值填充\n",
    "\n",
    "# 创建一个浮点数类型的副本，以便可以放入 np.nan\n",
    "temp_quantities = quantities.copy().astype(float)\n",
    "temp_quantities[temp_quantities == 0] = np.nan # 临时替换为nan以计算均值\n",
    "mean_quantity = np.nanmean(temp_quantities)\n",
    "quantities[quantities == 0] = int(mean_quantity) # 用均值填充\n",
    "\n",
    "print(\"缺失值处理完成，填充的平均值为:\", int(mean_quantity))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "39b5841b-4802-4b1d-96ec-4154daaac653",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "数据清洗完成！\n",
      "清洗后的数据（前5行）:\n",
      "[('2024-01-05', '电子产品', 1200.,  50) ('2024-01-08', '服装',  350., 150)\n",
      " ('2024-01-12', '家居用品',   80., 300) ('2024-01-15', '食品',   25., 800)\n",
      " ('2024-01-20', '电子产品', 8999.,  15)]\n"
     ]
    }
   ],
   "source": [
    "# 将清洗后的数据合并成一个结构化数组，方便后续分析\n",
    "cleaned_data = np.zeros(prices.size, dtype=[('date', 'U10'), ('category', 'U10'), ('price', 'f8'), ('quantity', 'i4')])\n",
    "cleaned_data['date'] = dates\n",
    "cleaned_data['category'] = categories\n",
    "cleaned_data['price'] = prices\n",
    "cleaned_data['quantity'] = quantities\n",
    "\n",
    "print(\"数据清洗完成！\")\n",
    "print(\"清洗后的数据（前5行）:\")\n",
    "print(cleaned_data[:5])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4879e8f1",
   "metadata": {},
   "source": [
    "## 三、统计分析与建模"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da0f48da",
   "metadata": {},
   "source": [
    "### 3.1 计算总销售额\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "19b9c94d-af31-4f04-a536-9043f67d6f3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "总销售额: 2654163.00元\n"
     ]
    }
   ],
   "source": [
    "# 为每条销售记录计算总销售额（价格 * 销量）\n",
    "sales = cleaned_data['price'] * cleaned_data['quantity']\n",
    "print(f\"总销售额: {np.sum(sales):.2f}元\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f70e7d3e",
   "metadata": {},
   "source": [
    "### 3.2 销售额分布特征研究\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "4b590c61-623f-49e8-8026-7d33022ca99e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "平均单笔销售额: 48257.51\n",
      "销售额中位数: 44100.00\n",
      "销售额标准差: 29851.92\n",
      "最高单笔销售额: 135000.00\n",
      "最低单笔销售额: 13860.00\n"
     ]
    }
   ],
   "source": [
    "#分析单笔销售额的分布情况，了解主要消费区间\n",
    "mean_sale = np.mean(sales)\n",
    "median_sale = np.median(sales)\n",
    "std_sale = np.std(sales)\n",
    "max_sale = np.max(sales)\n",
    "min_sale = np.min(sales)\n",
    "\n",
    "print(f\"平均单笔销售额: {mean_sale:.2f}\")\n",
    "print(f\"销售额中位数: {median_sale:.2f}\")\n",
    "print(f\"销售额标准差: {std_sale:.2f}\")\n",
    "print(f\"最高单笔销售额: {max_sale:.2f}\")\n",
    "print(f\"最低单笔销售额: {min_sale:.2f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28244287",
   "metadata": {},
   "source": [
    "### 3.3 商品类别销售表现对比分析\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "0e3f8b88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "各商品类别销售额:\n",
      "  - 家居用品: 398250.00元\n",
      "  - 服装: 761840.00元\n",
      "  - 电子产品: 1208463.00元\n",
      "  - 食品: 285610.00元\n"
     ]
    }
   ],
   "source": [
    "# 按商品类别进行分组，分析各个类别的总销售额，找出哪个类别最受欢迎。\n",
    "unique_categories = np.unique(cleaned_data['category'])\n",
    "category_sales = {}\n",
    "\n",
    "for category in unique_categories:\n",
    "    # 使用布尔索引筛选出特定类别的数据\n",
    "    indices = cleaned_data['category'] == category\n",
    "    total_sale_for_category = np.sum(sales[indices])\n",
    "    category_sales[category] = total_sale_for_category\n",
    "\n",
    "print(\"各商品类别销售额:\")\n",
    "for category, total_sale in category_sales.items():\n",
    "    print(f\"  - {category}: {total_sale:.2f}元\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1487de87",
   "metadata": {},
   "source": [
    "### 3.4 价格与销售量关联性研究\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "b697256a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "价格与销量的相关系数为: -0.3604\n",
      "\n",
      "解读：这个值通常为负数，表明价格越高，销量可能越低。如果接近0，说明两者线性关系不强。\n"
     ]
    }
   ],
   "source": [
    "# 使用相关系数来衡量价格和销量之间的线性关系。\n",
    "# 相关系数在-1到1之间，绝对值越接近1，关系越强。\n",
    "# 计算价格和销量的相关系数矩阵\n",
    "correlation_matrix = np.corrcoef(cleaned_data['price'], cleaned_data['quantity'])\n",
    "# 矩阵的 [0, 1] 位置的元素就是我们需要的相关系数\n",
    "correlation = correlation_matrix[0, 1]\n",
    "\n",
    "print(f\"价格与销量的相关系数为: {correlation:.4f}\")\n",
    "print(\"\\n解读：这个值通常为负数，表明价格越高，销量可能越低。如果接近0，说明两者线性关系不强。\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a925f59",
   "metadata": {},
   "source": [
    "## 四、可视化设计与实现\n",
    "### 4.1 各商品类别销售额对比（柱状图）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "0e94aa82",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "fig=plt.gcf()\n",
    "fig.savefig('./666.jpg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d55261c3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "categories_names = list(category_sales.keys())\n",
    "sales_values = list(category_sales.values())\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.bar(categories_names, sales_values, color=['skyblue', 'salmon', 'lightgreen', 'gold'])\n",
    "plt.title('各商品类别销售额对比', fontsize=16)\n",
    "plt.xlabel('商品类别', fontsize=12)\n",
    "plt.ylabel('总销售额 (元)', fontsize=12)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4de00cea",
   "metadata": {},
   "source": [
    "### 4.2 各商品类别销售额占比（饼图）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "e882765b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(8, 8))\n",
    "plt.pie(sales_values, labels=categories_names, autopct='%1.1f%%', startangle=140, colors=['skyblue', 'salmon', 'lightgreen', 'gold'])\n",
    "plt.title('各商品类别销售额占比', fontsize=16)\n",
    "plt.axis('equal')  # 保证饼图是正圆形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47ff1bee",
   "metadata": {},
   "source": [
    "### 4.3 月度销售额变化趋势（折线图）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "0293b629",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 首先需要按月份聚合数据\n",
    "monthly_sales = {}\n",
    "for i in range(len(cleaned_data)):\n",
    "    # 从日期字符串'YYYY-MM-DD'中提取月份'MM'\n",
    "    month = cleaned_data['date'][i][5:7]\n",
    "    sale = sales[i]\n",
    "    if month in monthly_sales:\n",
    "        monthly_sales[month] += sale\n",
    "    else:\n",
    "        monthly_sales[month] = sale"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "b93e7847",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 按月份排序\n",
    "sorted_months = sorted(monthly_sales.keys())\n",
    "sales_by_month = [monthly_sales[m] for m in sorted_months]\n",
    "month_labels = [f'{m}月' for m in sorted_months]\n",
    "\n",
    "plt.figure(figsize=(12, 6))\n",
    "plt.plot(month_labels, sales_by_month, marker='o', linestyle='-')\n",
    "plt.title('2024年月度销售总额变化趋势', fontsize=16)\n",
    "plt.xlabel('月份', fontsize=12)\n",
    "plt.ylabel('总销售额 (元)', fontsize=12)\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
